Using a mixed-effect model with a parameter-space of heterogenous dimension to evaluate whether accountable care organizations are associated with greater uniformity across constituent practices

DOI10.1002/SIM.9506zbMATH Open1547.62176MaRDI QIDQ6628549

A. James O'Malley, Daniel J. Gottlieb, Valerie A. Lewis, Guanqing Chen

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

mixed-effect modelaccountable care organizationbetween-group variabilitydifference-in-difference analysistime-varying parameter-space

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Likelihood ratio tests and singularities
• Asymptotic properties of maximum likelihood estimates in the mixed model of the analysis of variance
• Difference-in-differences with multiple time periods
• IX. On the problem of the most efficient tests of statistical hypotheses

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